Data science is transforming healthcare, where vast amounts of health data has the potential to revolutionise healthcare interventions. Gain cutting-edge research skills in this interdisciplinary area and delve into a year long research project tackling global health challenges. This programme will prepare you to be a key player in the digital revolution of healthcare.
This MRes is the ideal choice for those looking to drive innovation in healthcare through advanced research. With the increasing availability of complex health data—from electronic health records to AI-driven diagnostics—there is a growing need for experts who can harness this information to improve patient outcomes and public health. This programme provides a unique opportunity to develop specialist skills in machine learning, predictive analytics, and data visualisation while conducting an extended research project that tackles real-world healthcare challenges. Whether you aim to pursue a PhD, contribute to cutting-edge medical research, or shape the future of health technology, an MRes in Data Science for Health equips you with the analytical expertise and hands-on experience to make a meaningful impact in this rapidly evolving field.
With the rise of electronic health records, wearable technology, and AI-driven diagnostics, healthcare now generates more data than ever before. Effectively analysing this data allows for earlier disease detection, personalised treatment plans, and more efficient resource allocation. The programme blends core principles of computer science with advanced statistical analysis and data visualisation techniques, demonstrating how health data science can enhance our understanding of disease and healthcare.
The programme is split into a 120 credit research project and 60 credits of specialised taught modules. Students are able to choose a project that appeals to their interests and work alongside internationally recognised scientists gaining hands on experience in state of the art techniques. The opportunity to undertake specialist taught modules will compliment this research, allowing students to delve deeper into prediction modelling, precision medicine and clinical trials.
This MRes also has strong links to the Civic Health Innovation Labs (CHIL), an internationally recognised, multi- and trans-disciplinary research centre based at the University of Liverpool. CHIL brings together leading experts from academia, the NHS, local government, charities, and industry to develop responsible AI and innovative data solutions for health and society. Students have the opportunity to engage in research projects focused on healthcare data analytics, digital health solutions, public health informatics, and the application of technology in community health initiatives.
If you want to move into the field of data science but would prefer more taught content , please see our MSc Data Science for Health (Conversion) programme.
This Masters programme is suitable for you if you hold a 2.2 degree from a UK University (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills.
For overseas students an acceptable English Language qualification is required of IELTS 6.5 or equivalent with no individual band less than 6.0.
For Students who would prefer a larger taught component to their degree, we have two MSc courses in Data Science for Health:
If you have previous experience or quantitative training (for example a first degree in computer science or mathematics), please see our MSc Data Science and Analytics for Health
For Students who do not have any previous experience or quantitative training, please see our MSc Data Science for Health (conversion), which is specifically designed for students who are wishing to move into the field of data science irrespective of their background and previous training.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
Compulsory module
| DASC510 | Data Science for Health Research Project | This module is the first of a two-part research project and gives direct authentic experience in developing and planning a novel empirical research project. Students will use appropriate methodologies to answer a specific gap in existing knowledge in health data science. Students can choose from a selection of applied and/or methodological research studies or may choose to define their own research question/study, with supervision provided by a member of academic staff. |
The full structure of this course is still under development and will be available soon.
Programme details and modules listed are illustrative only and subject to change.
Compulsory module
| DASC511 | Data Science for Health Research Project | This module is the second of a two-part research project and gives direct authentic experience in conducting and reporting on a novel empirical research project. Students will use appropriate methodologies to answer a specific gap in existing knowledge in health data science. Students can choose from a selection of applied and/or methodological research studies or may choose to define their own research question/study, with supervision provided by a member of academic staff. |
The full structure of this course is still under development and will be available soon.
Programme details and modules listed are illustrative only and subject to change.
Compulsory module
| DASC511 | Data Science for Health Research Project | This module is the second of a two-part research project and gives direct authentic experience in conducting and reporting on a novel empirical research project. Students will use appropriate methodologies to answer a specific gap in existing knowledge in health data science. Students can choose from a selection of applied and/or methodological research studies or may choose to define their own research question/study, with supervision provided by a member of academic staff. |
Programme details and modules listed are illustrative only and subject to change.
We strive to ensure our teaching is integrated with the cutting edge research taking place within the institute. Students are able to choose specialist taught modules that support their research project or their longer term aspirations and interests. The modules are taught through a mixture of approaches including lectures, group projects, guest seminars, workshops, small group tutorials and problem solving exercises.
Students are able to choose a research project which reflects their own interests and will integrate into an active research group within the department while being supported by one of our world class researchers. Experimentation, data collection and analysis will form the core of this work as we aim to develop the next generation of world leading researchers.
Additional support is sought from online materials, selected textbooks and directed reading of research literature (taken from scientific journals and conference proceedings). Each module (except the research project) is worth 15 credits and thus totals approximately 150 hours, 25-50 of which are in taught sessions. The research project modules are split into a 30 credit module (during semester 1 to plan the project) and 90 credit module (in semesters 2 and 3 to conduct and complete the scientific report on the project).
We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.
The Liverpool Curriculum framework sets out our distinctive approach to education. Our teaching staff support our students to develop academic knowledge, skills, and understanding alongside our graduate attributes:
Our curriculum is characterised by the three Liverpool Hallmarks:
All this is underpinned by our core value of inclusivity and commitment to providing a curriculum that is accessible to all students.
Each day will involve a series of interesting, research focussed, lectures and practical sessions with time to digest content and prepare for later sessions and assessments. Students will also spend time in supervisory meetings and working independently on their research projects.
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Graduates in Data Science are in high demand worldwide. Whether you aspire to work as a data scientist in the NHS, develop AI-driven healthcare solutions or contribute to groundbreaking medical research, this programme provides the tools to help you succeed.
With the demand for data scientists and data engineers at an all time high, It is envisaged there is a need for approximately 52,000 new data science jobs in the UK alone.
The Healthcare sector is the fast growing employment sector around the world. This programme opens up a multitude of career opportunities for professionals with strong quantitative skills to evaluate health care interventions and information systems. Graduates are perfectly placed to enter roles in hospitals, government agencies, pharmaceutical companies or health tech start ups driving innovation and improving patient outcomes worldwide.
Potential employers are involved in the delivery of the course and you will be able to attend careers events with representation from higher education institutions, the NHS, industry and government agencies. This will ensure you have a variety of opportunities to network and build useful contacts.
Whenever possible, your dissertation project will be linked with external partner organisations, connecting you to potential employment and career progression opportunities.
99% of health sciences students from the University of Liverpool find their main activity after graduation meaningful
Graduates from the MRes in Data Science for Health are likely to enter a variety of careers opportunities. These include:
• PhD student
• Research Assistant
• Trial statistician
• Epidemiologist
• Data Scientist
Our campus Career Studio is a space for students and graduates to drop into and talk to a career coach. Career coaches are highly trained to help no matter what stage you are at in your career planning. You can access support to find and apply for full-time and part-time roles, placements, internships and graduate schemes. You will also find the help you need if you have a start-up idea or want to create a business plan. You can explore the world of work, prepare for job interviews, and access careers events and workshops. The Career Studio is open Monday to Friday from 10am-5pm, simply drop in at a time that works for you.
We develop our programmes with employers in mind. You will be supported to enhance your long-term employment prospects as you learn. We do this by exposing you to professionals, a variety of sectors and supporting you to work collaboratively with others to develop transferable skills. You are equipped with a clearer view of what to focus on in your area of interest, and to reflect on your studies. Our digital employability tools give you a tech-enhanced curriculum experience and make it easy for you to prepare for the world of work. You can use tools like the Handshake platform to connect with employers and message the Career Studio 24/7.
You can start building good professional networks by attending events and employability activities. Our events are designed to develop your skills and expose you to many different employers, as well as to help you make contacts in your field. We help you improve your confidence when speaking to employers and give you access to unique opportunities. Our networking events also boost your understanding of the competencies and skills that employers are looking for in their recruitment process, giving you a competitive edge.
Your tuition fees, funding your studies, and other costs to consider.
Full-time place, per year - £5,006
Part-time place, per year - £2,503
Full-time place, per year - £31,250
Part-time place, per year - £15,650
Fees stated are for the academic year 2025/26. Some MRes courses incur additional bench fees. You will be notified of any fee which applies to you in your offer letter.
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
You can pay your tuition fees in instalments.
All or part of your tuition fees can be funded by external sponsorship.
International applicants who accept an offer of a place will need to pay a tuition fee deposit.
If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about paying for your studies.
We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.
Find out more about the additional study costs that may apply to this course.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
If you’re a University of Liverpool graduate starting this master’s degree with us, you could be eligible to receive a loyalty discount of up to £2,500 off your master’s tuition fees.
If you’re a UK student, either born in or with strong family connections to Merseyside, you could be eligible to apply for a fee discount of up to £4,500. You’ll need to demonstrate an active interest in global, community and environmental issues to be considered.
If you’re a UK University of Liverpool graduate joining a master’s degree with us, you could be eligible to receive £3,000 off your tuition fees. You must have graduated in the last two years and received a widening access scholarship during your undergraduate studies.
Apply to receive tailored training support to enhance your sporting performance. Our athlete support package includes a range of benefits, from bespoke strength and conditioning training to physiotherapy sessions and one-to-one nutritional advice.
The qualifications and exam results you'll need to apply for this course.
| Qualification | Details |
|---|---|
| Postgraduate entry requirements | This Masters programme is suitable for you if you hold a 2.2 degree from a UK University (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills. If you have previous experience or quantitative training, for example a first degree in computer science or mathematics, you may prefer our MSc Data Science and Analytics for Health programme.
|
| International qualifications |
Many countries have a different education system to that of the UK, meaning your qualifications may not meet our entry requirements. Completing your Foundation Certificate, such as that offered by the University of Liverpool International College, means you're guaranteed a place on your chosen course. |
You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country.
We accept a variety of international language tests and country-specific qualifications.
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
| Qualification | Details |
|---|---|
| IELTS | 6.5 overall, with no component below 6.0 |
Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?
The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.
If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests, to determine the length of Pre-sessional English course you require.
Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.
| Your most recent IELTS score | Pre-sessional English course length | On campus or online |
|---|---|---|
| 6.0 overall, with no component below 6.0 | 6 weeks | On campus |
| 6.0 overall, with no component below 5.5 | 10 weeks | On campus and online options available |
| 6.0 overall, with no more than one component below 5.5, and no component below 5.0 | 12 weeks | On campus and online options available |
| 5.5 overall, with no more than one component below 5.5, and no component below 5.0 | 20 weeks | On campus |
| 5.0 overall, with no more than one component below 5.0, and no component below 4.5 | 30 weeks | On campus |
| 4.5 overall, with no more than one component below 4.5, and no component below 4.0 | 40 weeks | On campus |
If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.
Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 6.0, for further details.
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Last updated 29 April 2025 / / Programme terms and conditions